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Who this course is for
Who this course is for
Students who want to learn Deep Internals of BigQuery components.
Data engineers, intending to build end-to-end Data pipelines in GCP (Google Cloud Platform)
Anyone planning to give Google Cloud Data engineer certification.
course structure
course structure
This course offers understanding on following concepts
This course offers understanding on following concepts
Learn Full In & Out of Google Cloud BigQuery with proper HANDS-ON examples from scratch.
Get an Overview of Google Cloud Platform and a brief introduction to the set of services it provides.
Start with Bigquery core concepts like understanding its Architecture, Dataset, Table, View, Materialized View, Schedule queries, Limitations & Quotas.
ADVANCE Big query topics like Query Execution plan, Efficient schema design, Optimization techniques, Partitioning, Clustering, etc.
Build Big data pipelines using various Google Cloud Platform services - Dataflow, Pub/Sub, BigQuery, Cloud storage, Beam, Data Studio, Cloud Composer/Airflow.
Learn to interact with Bigquery using Web Console, Command Line, Python Client Library etc.
Learn Best practices to follow in Real-Time Projects for Performance and Cost saving for every component of Big query.
Bigquery Pricing models for Storage, Querying, API requests, DMLs and free operations.
Data-sets and Queries used in lectures are available in resources tab. This will save your typing efforts.
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